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MLC: Enhanced Deepfake Detection Through Multi‐Level Collaborations
IET Image Processing, Volume 20, Issue 1, January/December 2026.A novel Multi‐Level Collaborations (MLC) strategy to enhance the generalisation performance through simultaneously extracting and integrating three distinct levels of discriminative features during the encoding process. Three complementary forge clues: pixel‐level fine‐grained, region‐level facial layout, and semantic‐level deep clues, are integrated ...
Lihua Wang +4 more
wiley +1 more source
Forensic detection of medical image manipulation using PACS and DICOM artifacts
Journal of Forensic Sciences, Volume 71, Issue 1, Page 371-387, January 2026.Abstract With the digitization of medical information, illegal activities such as medical crimes and insurance fraud through tampering have increased. Medical images are particularly vulnerable due to their nature as soft copies and their transmission over networks.
Sojung Oh +5 more
wiley +1 more source
La curación de contenidos digitales en el aula de Lengua castellana y Literatura [PDF]
, 2019 La expresión curación digital materializa una época, la actual, donde por primera vez en la historia de la comunicacion digital se cuestiona el talismán de internet.
Gutiérrez Herguedas, Roberto
core +1 more source
Threats to conservation from artificial‐intelligence‐generated wildlife images and videos
Conservation Biology, Volume 40, Issue 1, February 2026.
José Guerrero‐Casado +4 more
wiley +1 more source
International Journal of CommunicationPolitical deepfakes have been regarded as potentially harmful for democracy. However, to date, we lack a clear understanding of how people respond to deepfakes, especially when they differ in plausibility and the extremity of the deceptive message ...
Michael Hameleers +2 more
doaj +2 more sources
Applied Computer ScienceDeep fakes pose a significant threat to medical imaging. These deep fakes appear very similar to real diagnostic scans and are often difficult to distinguish from real medical images.
Pradepan P +2 more
doaj +1 more source
Deepfake detection using convolutional neural networks: a deep learning approach for digital security [PDF]
The development of artificial intelligence technology, especially deep learning, has facilitated the emergence of increasingly sophisticated deepfake technology.
Kusnadi, Adhi +3 more
core +2 more sources
Deepfakes: A New Content Category for a Digital Age
, 2021 Technology has advanced rapidly in recent years, greatly benefitting society. One such benefit is people’s ability to have quick and easy access to information through news and social media. A recent concern, however, is that manipulated media, otherwise
Pesetski, Anna
core
High-quality deepfakes have a heart!
Frontiers in ImagingIntroductionDeepfakes have become ubiquitous in our modern society, with both their quantity and quality increasing. The current evolution of image generation techniques makes the detection of manipulated content through visual inspection increasingly ...
Clemens Seibold +8 more
doaj +1 more source
Machine learning, artificial intelligence, and the use of force by states [PDF]
, 2018 Machine learning algorithms have begun to play a critical role in modern society. Governments inevitably will employ machine learning to inform their decisions about whether and how to resort to force internationally. This essay identifies scenarios in
Deeks, Ashley +2 more
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